Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI

NVIDIA
Munich
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Collaboration","Communication","Analytical thinking","Self-motivation","Organization"]

Partner with leading research labs, researchers, and university faculty as a trusted technical advisor to accelerate multimodal and physical AI projects at supercomputing scale. Integrate NVIDIA frameworks, libraries, and software stack to identify and deploy high-impact workloads, and deliver hands-on trainings, workshops, lectures, and demonstrations. Track emerging research trends, build prototypes from customer/NVIDIA gaps, and provide direct feedback to engineering while maintaining deep platform expertise.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Partner with leading research labs, researchers, and university faculty as a trusted technical advisor to accelerate multimodal and physical AI projects at supercomputing scale. Integrate NVIDIA frameworks, libraries, and software stack to identify and deploy high-impact workloads, and deliver hands-on trainings, workshops, lectures, and demonstrations. Track emerging research trends, build prototypes from customer/NVIDIA gaps, and provide direct feedback to engineering while maintaining deep platform expertise.
Location: Munich
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Act as a trusted technical advisor to partner with research labs, researchers, and university faculty and drive joint research projects at supercomputing scale.
  • •Identify and accelerate high-impact workloads by integrating NVIDIA frameworks, libraries, and core software into research projects, supporting researchers with publications and technical content.
  • •Advocate for accelerated computing, robotics, Multimodal AI, and Physical AI; deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA platforms.
  • •Track emerging research trends and translate gaps between researcher needs and NVIDIA offerings into prototypical solutions and direct feedback to NVIDIA Engineering.
  • •Maintain deep domain expertise while staying versatile across NVIDIA’s platform, including GPUs, CPUs, networking, and software.
Travel: Medium travel

Key Requirements

  • •Graduate degree in a STEM-related discipline or equivalent experience.
  • •5+ years across the multimodal and world model lifecycle on multi-node GPU systems, including data curation, pre-/post-training, evaluation, and efficient inference.
  • •Strong collaboration and communication skills to build relationships with academic/research stakeholders and explain complex ideas to expert and non-expert audiences.
  • •Action-oriented, analytical, self-motivated approach with excellent organization skills in a heavily multi-tasked environment.
  • •Fluency in English and comfort working in Python.
Experience:5+ yearsMultimodal AIWorld modelsMulti-node GPU systemsMultimodal AI trainingRobotics
Education:Master's in STEM-related discipline
Skills:CollaborationCommunicationAnalytical thinkingSelf-motivationOrganization
Languages:English
Tech Stack:PythonCUDACUDA-XCosmosNeMo FrameworkMegatronNemotronIsaac robotics platformNuRecTensorRTNIMMONAI

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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